Instructions to use GoalZero/aidetector-legacy-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GoalZero/aidetector-legacy-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GoalZero/aidetector-legacy-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GoalZero/aidetector-legacy-1") model = AutoModelForSequenceClassification.from_pretrained("GoalZero/aidetector-legacy-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 233f46415e1d4273e016a85ced4d30b6da0081339f27514a173bde0ba75af8f2
- Size of remote file:
- 499 MB
- SHA256:
- 391883b28afb487bd674ef05366344132f474887142db57f01de55b013882f77
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